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This commit is contained in:
Francisco J. Martínez Mimbrera
2026-05-22 11:14:29 +02:00
parent 427197ec5a
commit b8141736eb
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plugins/afryca.consensusmodel.palomares2014/.classpath
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<?xml version="1.0" encoding="UTF-8"?>
<classpath>
<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-1.8"/>
<classpathentry kind="con" path="org.eclipse.pde.core.requiredPlugins"/>
<classpathentry kind="src" path="src"/>
<classpathentry kind="output" path="bin"/>
</classpath>
plugins/afryca.consensusmodel.palomares2014/.gitignore
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/bin
plugins/afryca.consensusmodel.palomares2014/.project
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<?xml version="1.0" encoding="UTF-8"?>
<projectDescription>
<name>afryca.consensusmodel.palomares2014</name>
<comment></comment>
<projects>
</projects>
<buildSpec>
<buildCommand>
<name>org.eclipse.jdt.core.javabuilder</name>
<arguments>
</arguments>
</buildCommand>
<buildCommand>
<name>org.eclipse.pde.ManifestBuilder</name>
<arguments>
</arguments>
</buildCommand>
<buildCommand>
<name>org.eclipse.pde.SchemaBuilder</name>
<arguments>
</arguments>
</buildCommand>
<buildCommand>
<name>org.eclipse.m2e.core.maven2Builder</name>
<arguments>
</arguments>
</buildCommand>
</buildSpec>
<natures>
<nature>org.eclipse.m2e.core.maven2Nature</nature>
<nature>org.eclipse.pde.PluginNature</nature>
<nature>org.eclipse.jdt.core.javanature</nature>
</natures>
</projectDescription>
plugins/afryca.consensusmodel.palomares2014/.settings/org.eclipse.core.resources.prefs
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eclipse.preferences.version=1
encoding/<project>=UTF-8
plugins/afryca.consensusmodel.palomares2014/.settings/org.eclipse.core.runtime.prefs
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eclipse.preferences.version=1
line.separator=\n
plugins/afryca.consensusmodel.palomares2014/.settings/org.eclipse.jdt.core.prefs
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eclipse.preferences.version=1
org.eclipse.jdt.core.compiler.codegen.inlineJsrBytecode=enabled
org.eclipse.jdt.core.compiler.codegen.targetPlatform=1.8
org.eclipse.jdt.core.compiler.compliance=1.8
org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
org.eclipse.jdt.core.compiler.source=1.8
plugins/afryca.consensusmodel.palomares2014/.settings/org.eclipse.m2e.core.prefs
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activeProfiles=
eclipse.preferences.version=1
resolveWorkspaceProjects=true
version=1
plugins/afryca.consensusmodel.palomares2014/META-INF/MANIFEST.MF
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Manifest-Version: 1.0
Bundle-ManifestVersion: 2
Bundle-SymbolicName: afryca.consensusmodel.palomares2014;singleton:=true
Bundle-Version: 1.0.0.qualifier
Bundle-Vendor: %Bundle-Vendor
Bundle-RequiredExecutionEnvironment: JavaSE-1.8
Bundle-Name: %Bundle-Name
Bundle-ActivationPolicy: lazy
Require-Bundle: afryca.consensusmodel
Automatic-Module-Name: afryca.consensusmodel.palomares2014
plugins/afryca.consensusmodel.palomares2014/OSGI-INF/l10n/bundle.properties
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#Properties file for afryca.consensusmodel.palomares2014
Bundle-Vendor = Sinbad\u00B2
Bundle-Name = Palomares2014
afryca.consensusmodel.palomares2014.information = Paper: I. Palomares, F.J. Quesada, L. Mart\u00EDnez, An Approach based on Computing with Words to Manage Experts Behavior in Consensus Reaching Processes with Large Groups. . 2014 International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 476-483, 2014.\\n\\nConsensus model that incorporates a novel mechanism based on computing with words and fuzzy set theory to assign weights to experts based on their behavior at each round of the consensus process. Each expert's behavior is evaluated based on the amount of received feedback that they apply in favor of consensus, and assigns them an importance weight accordingly, which is taken into account when computing the group preference.
afryca.consensusmodel.palomares2014.mainfeature = Fuzzy preference relations\\nComputation of weights for experts\\nFeedback mechanism
afryca.consensusmodel.palomares2014.name = I. Palomares et al. (2014)
afryca.consensusmodel.palomares2014.observations = \u0020
afryca.consensusmodel.palomares2014.variable.mu.description = Consensus threshold
afryca.consensusmodel.palomares2014.variable.max_rounds.description = Maximum number of discussion rounds allowed
afryca.consensusmodel.palomares2014.variable.epsilon.description = Acceptability threshold
afryca.consensusmodel.palomares2014.variable.alpha.description = Lower parameter of the linguistic quantifier used to weight experts based on their cooperation coefficient (its value may increase as the consensus process goes on)
afryca.consensusmodel.palomares2014.variable.beta.description = Higher parameter of the linguistic quantifier used to weight experts based on their cooperation coefficient (its value may increase as the consensus process goes on)
afryca.consensusmodel.palomares2014.variable.increment.description = Increment of alpha and beta parameters in the quantifier
afryca.consensusmodel.palomares2014.variable.h_start.description = Consensus round from which the membership function parameters of the linguistic quantifier start increasing, thus becoming more strict with the meaning of cooperativeness
plugins/afryca.consensusmodel.palomares2014/OSGI-INF/l10n/bundle_es.properties
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#Archivo de propiedades para afryca.consensusmodel.palomares2014
Bundle-Vendor = Sinbad\u00B2
Bundle-Name = Palomares2014
afryca.consensusmodel.palomares2014.information = Artículo: I. Palomares, F.J. Quesada, L. Mart\u00EDnez, An Approach based on Computing with Words to Manage Experts Behavior in Consensus Reaching Processes with Large Groups. 2014 International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 476-483, 2014.\\n\\nModelo de consenso que incorpora un nuevo mecanismo de computación con palabras y teoría de conjuntos difusos para asignar pesos a los expertos en base a su comportamiento en cada ronda del proceso de consenso. El comportamiento de cada experto es evaluado en base a la cantidad de recomendaciones recibidas que ha aplicado a favor del consenso. En base a ello el modelo asigna una importancia a cada experto que es tomada en consideración cuando se calcula la preferencia colectiva.
afryca.consensusmodel.palomares2014.mainfeature = Relaciones de preferencia difusas\\nCálculo de los pesos de los expertos\\nMecanismo de feedback
afryca.consensusmodel.palomares2014.name = I. Palomares et al. (2014)
afryca.consensusmodel.palomares2014.observations = \u0020
afryca.consensusmodel.palomares2014.variable.mu.description = Umbral de consenso
afryca.consensusmodel.palomares2014.variable.max_rounds.description = Máximo número de rondas de discusión permitido
afryca.consensusmodel.palomares2014.variable.epsilon.description = Umbral de aceptabilidad
afryca.consensusmodel.palomares2014.variable.alpha.description = Mínimo parámetro del cuantificador lingüístico usado para los pesos de los expertos en base a su coeficiente de cooperación (su valor se incrementará a medida que avance el proceso de consenso)
afryca.consensusmodel.palomares2014.variable.beta.description = Máximo parámetro del cuantificador lingüístico usado para los pesos de los expertos en base a su coeficiente de cooperación (su valor se incrementará a medida que avance el proceso de consenso)
afryca.consensusmodel.palomares2014.variable.increment.description = Incremento de los parámetros alpha y beta en el cuantificador
afryca.consensusmodel.palomares2014.variable.h_start.description = Rondas de consenso desde las cuales los parámetros de la función de pertenencia del cuantificador lingüístico comienzan a incrementarse para hacer más estricto el sentido de la cooperación
plugins/afryca.consensusmodel.palomares2014/build.properties
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source.. = src/
output.. = bin/
bin.includes = META-INF/,\
.,\
plugin.xml,\
OSGI-INF/
plugins/afryca.consensusmodel.palomares2014/plugin.xml
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<?xml version="1.0" encoding="UTF-8"?>
<?eclipse version="3.4"?>
<plugin>
<extension
point="afryca.consensusmodel">
<ConsensusModel
ConsensusModel="afryca.consensusmodel.Palomares2014"
Information="%afryca.consensusmodel.palomares2014.information"
MainFeatures="%afryca.consensusmodel.palomares2014.mainfeature"
Multicriteria="false"
Name="%afryca.consensusmodel.palomares2014.name"
Observations="%afryca.consensusmodel.palomares2014.observations"
Structure="afryca.fpr"
WithFeedback="true"
id="Palomares2014">
<Variable
default_value="0.85"
description="%afryca.consensusmodel.palomares2014.variable.mu.description"
id="mu"
is_array="false"
is_internal="false"
type="Float">
<Restriction
type="lower_limit"
value="0">
</Restriction>
<Restriction
type="upper_limit"
value="1">
</Restriction>
</Variable>
<Variable
default_value="15"
description="%afryca.consensusmodel.palomares2014.variable.max_rounds.description"
id="max_rounds"
is_array="false"
is_internal="false"
type="Integer">
<Restriction
type="lower_limit"
value="1">
</Restriction>
</Variable>
<Variable
default_value="0.05"
description="%afryca.consensusmodel.palomares2014.variable.epsilon.description"
id="epsilon"
is_array="false"
is_internal="false"
type="Float">
<Restriction
type="lower_limit"
value="0">
</Restriction>
<Restriction
type="upper_limit"
value="1">
</Restriction>
</Variable>
<Variable
default_value="0.2"
description="%afryca.consensusmodel.palomares2014.variable.alpha.description"
id="alpha"
is_array="false"
is_internal="false"
type="Float">
<Restriction
type="lower_limit"
value="0">
</Restriction>
<Restriction
type="upper_limit"
value="0.9">
</Restriction>
<Relation
type="lower_than"
variable="beta">
</Relation>
</Variable>
<Variable
default_value="0.6"
description="%afryca.consensusmodel.palomares2014.variable.beta.description"
id="beta"
is_array="false"
is_internal="false"
type="Float">
<Restriction
type="lower_limit"
value="0.1">
</Restriction>
<Restriction
type="upper_limit"
value="1">
</Restriction>
<Relation
type="greater_than"
variable="alpha">
</Relation>
</Variable>
<Variable
default_value="0.1"
description="%afryca.consensusmodel.palomares2014.variable.increment.description"
id="increment"
is_array="false"
is_internal="false"
type="Float">
<Restriction
type="lower_limit"
value="0">
</Restriction>
<Restriction
type="upper_limit"
value="1">
</Restriction>
</Variable>
<Variable
default_value="4"
description="%afryca.consensusmodel.palomares2014.variable.h_start.description"
id="h_start"
is_array="false"
is_internal="false"
type="Integer">
<Restriction
type="lower_limit"
value="2">
</Restriction>
<Relation
type="lower_than"
variable="max_rounds">
</Relation>
</Variable>
</ConsensusModel>
</extension>
</plugin>
plugins/afryca.consensusmodel.palomares2014/src/afryca/consensusmodel/Palomares2014.java
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package afryca.consensusmodel;
import java.util.HashSet;
import java.util.Set;
import afryca.cm.CM;
import afryca.consensusmodel.definition.EResultElements;
import afryca.fpr.FPR;
import afryca.structure.Structure;
/**
* Palomares2014 Consensus model
*
* @author Sinbad²
* @version 3.0
*/
public class Palomares2014 extends ConsensusModel {
private static final String CONSENSUS_MODEL_NAME = "I. Palomares et al. (2014)"; //$NON-NLS-1$
private static final String MU = "mu"; //$NON-NLS-1$
private static final String MAX_ROUNDS = "max_rounds"; //$NON-NLS-1$
private static final String EPSILON = "epsilon"; //$NON-NLS-1$
private static final String ALPHA = "alpha"; //$NON-NLS-1$
private static final String BETA = "beta"; //$NON-NLS-1$
private static final String INCREMENT = "increment"; //$NON-NLS-1$
private static final String H_START = "h_start"; //$NON-NLS-1$
private Float mu;
private Integer maxrounds;
private Float epsilon;
private Float alpha;
private Float beta;
private Float increment;
private Integer h_start;
private Float[] weights;
private Integer[][] behaviorsOfExperts;
private float[] ccs;
private int h;
private Float cr;
private int[] advises;
private Set<Integer> expertsWithoutWeight;
@Override
protected void setModelConfiguration() {
}
@Override
protected void obtainConfigurationValues() {
mu = (Float) configuration.getValue(MU);
maxrounds = (Integer) configuration.getValue(MAX_ROUNDS);
epsilon = (Float) configuration.getValue(EPSILON);
alpha = (Float) configuration.getValue(ALPHA);
beta = (Float) configuration.getValue(BETA);
increment = (Float) configuration.getValue(INCREMENT);
h_start = (Integer) configuration.getValue(H_START);
weights = new Float[numberOfExperts];
float w = 1f / (float) numberOfExperts;
for (int i = 0; i < numberOfExperts; i++) {
weights[i] = w;
}
behaviorsOfExperts = null;
ccs = new float[numberOfExperts];
h = 0;
cr = 0f;
advises = null;
expertsWithoutWeight = new HashSet<Integer>();
}
@Override
protected Float[][][] obtainVisualizeValues() {
Structure[] auxPreferences = (Structure[]) clonePreferencesUnion(preferences, ConsensusEngine.groupPreferences(numberOfExperts, numberOfAlternatives, preferences, weights));
Float[][][] preferencesGroupVisualization = new Float[numberOfExperts + 1][numberOfAlternatives][numberOfAlternatives];
for (int k = 0; k < numberOfExperts+1; k++) {
preferencesGroupVisualization[k] = auxPreferences[k].obtainVisualizeValues();
}
return preferencesGroupVisualization;
}
@Override
protected void preFirstSaveRoundResults() {
int round = 1;
Structure[] auxPreferences = (Structure[]) clonePreferencesUnion(preferences, ConsensusEngine.groupPreferences(numberOfExperts, numberOfAlternatives, preferences, weights));
CM[][] sm_matrices = ConsensusEngine.similarityMatrices(numberOfExperts, numberOfAlternatives, auxPreferences);
CM cm = ConsensusEngine.consensusMatrixBasedOnSimilarityBetweenFPRs(numberOfExperts, numberOfAlternatives, sm_matrices);
Float[] ac = ConsensusEngine.computeAlternativesConsensus(numberOfAlternatives, cm);
Float consensusDegreeAchieved = ConsensusEngine.consensusBasedOnAlternativesConsensus(numberOfAlternatives, ac);
preSaveRoundResult(round, auxPreferences, obtainVisualizeValues(), consensusDegreeAchieved);
result.put(EResultElements.initial_consensus_degree, consensusDegreeAchieved);
result.put(EResultElements.maxround, maxrounds);
result.put(EResultElements.consensus_threshold, mu);
result.put(EResultElements.consensus_model, CONSENSUS_MODEL_NAME);
}
@Override
protected void preSaveRoundResults() {
preSaveRoundResult(h + 1, preferences,obtainVisualizeValues(), cr);
}
@Override
protected void consensusRound() {
computeCollective();
CM[][] sm_matrices = ConsensusEngine.similarityMatrices(numberOfExperts, numberOfAlternatives, preferences);
eliminateExpertsSimilarityMatrices(sm_matrices);
CM cm = ConsensusEngine.consensusMatrixBasedOnSimilarityBetweenFPRs(numberOfExperts, numberOfAlternatives, sm_matrices);
Float[] ac = ConsensusEngine.computeAlternativesConsensus(numberOfAlternatives, cm);
computeConsensusDegree(ac);
setLinguisticQuantifierValues();
advises = null;
if (cr < mu) {
CM[] proximityMatrices = ConsensusEngine.similarityMatricesRespectCollective(numberOfExperts, numberOfAlternatives, preferences, preferences[numberOfExperts]);
eliminateExpertsProximityMatrices(proximityMatrices);
CM proximityAverageMatrix = ConsensusEngine.similarityAverageMatrix(numberOfExperts, numberOfAlternatives, proximityMatrices);
Boolean[][] pairsOfAlternativesToChange = identifyPairsOfAlternativesToChange(numberOfAlternatives, ac, cr, cm);
Boolean[][][] changePairsOfAlternativesByExperts = identifyChangePairsOfAlternativesByExperts(numberOfExperts, numberOfAlternatives, pairsOfAlternativesToChange, proximityMatrices, proximityAverageMatrix);
EChangeType[][][] changes = calculeChanges(numberOfExperts, numberOfAlternatives, changePairsOfAlternativesByExperts, (Structure[]) preferences, epsilon);
behaviorsOfExperts = makeChanges(numberOfExperts, numberOfAlternatives, (Structure[]) preferences, changes);
advises = new int[numberOfExperts];
for (int expert = 0; expert < numberOfExperts; expert++) {
advises[expert] = 0;
for (int a1 = 0; a1 < numberOfAlternatives; a1++) {
for (int a2 = 0; a2 < numberOfAlternatives; a2++) {
if (changes[expert][a1][a2] != EChangeType.NotChange) {
advises[expert] = advises[expert] + 1;
}
}
}
}
h++;
}
}
private void computeCollective(){
preferences[numberOfExperts] = ConsensusEngine.groupPreferences(numberOfExperts, numberOfAlternatives, preferences, weights);
}
private void computeConsensusDegree(Float[] consensusOnAlternatives){
cr = ConsensusEngine.consensusBasedOnAlternativesConsensus(numberOfAlternatives, consensusOnAlternatives);
}
/**
* Eliminate experts' similarity matrices whose weight is equal to 0
* @param sm_matrices
* Similarity matrices
*/
private void eliminateExpertsSimilarityMatrices(CM[][] sm_matrices) {
for(int k = 0; k < numberOfExperts - 1; ++k) {
for(int l = k + 1; l < numberOfExperts; ++l) {
if(weights[k] == 0) {
sm_matrices[k][l] = null;
expertsWithoutWeight.add(k);
} else if(weights[l] == 0) {
sm_matrices[k][l] = null;
expertsWithoutWeight.add(l);
}
}
}
}
/**
* Eliminate experts' proximity matrices whose weight is equal to 0
* @param proximityMatrices
* Proximity matrices
*/
private void eliminateExpertsProximityMatrices(CM[] proximityMatrices) {
for(int i = 0; i < proximityMatrices.length; ++i) {
if(expertsWithoutWeight.contains(i)) {
proximityMatrices[i] = null;
}
}
}
@Override
protected void posSaveRoundResults() {
CM[][] sm_matrices = ConsensusEngine.similarityMatrices(numberOfExperts, numberOfAlternatives, preferences);
eliminateExpertsSimilarityMatrices(sm_matrices);
CM cm = ConsensusEngine.consensusMatrixBasedOnSimilarityBetweenFPRs(numberOfExperts, numberOfAlternatives, sm_matrices);
Float[] ac = ConsensusEngine.computeAlternativesConsensus(numberOfAlternatives, cm);
computeConsensusDegree(ac);
posSaveRoundResult(preferences,obtainVisualizeValues(), cr, advises, preferences[numberOfExperts]);
}
@Override
protected boolean mustBeCarriedOutAnotherRound() {
return (cr < mu) && (h < maxrounds);
}
@Override
protected void saveExecutionResults() {
this.configuration.setValue(PREFERENCES, preferences);
result.put(EResultElements.number_of_rounds_required, h);
result.put(EResultElements.consensus_degree_achieved, cr);
}
private void setLinguisticQuantifierValues() {
if ((h + 1) >= h_start) {
if (alpha < 0.9f) {
if ((alpha + increment) < 0.9f) {
alpha += increment;
} else {
alpha = 0.9f;
}
}
if (beta < 1f) {
if ((beta + increment) < 1f) {
beta += increment;
} else {
beta = 1f;
}
}
}
if (h > 0) {
for (int i = 0; i < numberOfExperts; i++) {
if(weights[i] != 0) {
ccs[i] = (behaviorsOfExperts[i][0] == 0) ? 1f : (((float) behaviorsOfExperts[i][1]) / ((float) behaviorsOfExperts[i][0]));
}
}
for (int i = 0; i < numberOfExperts; i++) {
if (ccs[i] < alpha) {
weights[i] = 0f;
} else if (ccs[i] < beta) {
weights[i] = (ccs[i] - alpha) / (beta - alpha);
} else {
weights[i] = 1f;
}
}
weights = ConsensusEngine.normalize(weights);
}
}
/**
* Identify pairs of alternatives to change
*
* @param alternatives
* Number of alternatives
* @param ac
* Alternatives consensus
* @param cr
* Overall consensus degree
* @param cm
* Consensus matrix
* @return Pairs of alternatives to change
*/
private static Boolean[][] identifyPairsOfAlternativesToChange(Integer alternatives, Float[] ac, Float cr, CM cm) {
Boolean[][] result = new Boolean[alternatives][alternatives];
Boolean change;
for (int i = 0; i < alternatives; i++) {
for (int j = 0; j < alternatives; j++) {
change = false;
if (i != j) {
if (ac[i] < cr) {
if ((float) cm.getValue(i, j) < cr) {
change = true;
}
}
}
result[i][j] = change;
}
}
return result;
}
/**
* Identify change in pairs of alternatives by experts
*
* @param experts
* Number of experts
* @param alternatives
* Number of alternatives
* @param pairsOfAlternativesToChange
* Pairs of alternatives to change
* @param proximityMatrices
* Proximity matrices
* @param proximityAverageMatrix
* Proximity average matrix
* @return Change in pairs of alternatives by experts
*/
private static Boolean[][][] identifyChangePairsOfAlternativesByExperts(Integer experts, Integer alternatives,
Boolean[][] pairsOfAlternativesToChange, CM[] proximityMatrices, CM proximityAverageMatrix) {
Boolean[][][] result = new Boolean[experts][alternatives][alternatives];
Boolean change;
for (int expert = 0; expert < experts; expert++) {
for (int i = 0; i < alternatives; i++) {
for (int j = 0; j < alternatives; j++) {
change = false;
if (pairsOfAlternativesToChange[i][j] && proximityMatrices[expert] != null) {
if ((float) proximityMatrices[expert].getValue(i, j) < (float) proximityAverageMatrix.getValue(i, j)) {
change = true;
}
}
result[expert][i][j] = change;
}
}
}
return result;
}
/**
* Calcule changes to make
*
* @param experts
* Number of experts
* @param alternatives
* Number of alterantives
* @param changePairsOfAlternativesByExperts
* Change in pairs of alternatives by experts
* @param preferences
* All FPR.
* @param epsilon
* Acceptability threshold
* @return Changes to make
*/
private static EChangeType[][][] calculeChanges(Integer experts, Integer alternatives, Boolean[][][] changePairsOfAlternativesByExperts, Structure[] preferences, Float epsilon) {
EChangeType[][][] result = new EChangeType[experts][alternatives][alternatives];
Float difference;
for (int expert = 0; expert < experts; expert++) {
for (int i = 0; i < alternatives; i++) {
for (int j = 0; j < alternatives; j++) {
if (changePairsOfAlternativesByExperts[expert][i][j]) {
difference = (Float) preferences[expert].getValue(i, j) - (Float) preferences[experts].getValue(i, j);
if (difference < (-epsilon)) {
result[expert][i][j] = EChangeType.Increase;
} else if (difference > epsilon) {
result[expert][i][j] = EChangeType.Decrease;
} else {
result[expert][i][j] = EChangeType.NotChange;
}
} else {
result[expert][i][j] = EChangeType.NotChange;
}
}
}
}
return result;
}
/**
* Make preferences changes
*
* @param experts
* Number of experts
* @param alternatives
* Number of alternatives
* @param preferences
* All FPR
* @param changes
* Changes to make
*
* @return Behaviors of experts as Integer[number of experts][2 = {0 -
* number of advices, 1 - number of acepted advices}].
*/
private Integer[][] makeChanges(Integer experts, Integer alternatives, Structure[] preferences,
EChangeType[][][] changes) {
Integer[][] behaviorOfExperts = new Integer[experts][2];
float value;
EChangeType change;
double[] eChanges;
int n;
double changeMeasure;
for (int expert = 0; expert < experts; expert++) {
behaviorOfExperts[expert][0] = 0;
behaviorOfExperts[expert][1] = 0;
n = 0;
for (int i = 0; i < alternatives; i++) {
for (int j = 0; j < alternatives; j++) {
if (changes[expert][i][j] != EChangeType.NotChange) {
behaviorOfExperts[expert][0] = behaviorOfExperts[expert][0] + 1;
}
}
}
eChanges = getNChanges(behaviorOfExperts[expert][0]);
for (int i = 0; i < alternatives; i++) {
for (int j = 0; j < alternatives; j++) {
change = changes[expert][i][j];
if (change != EChangeType.NotChange) {
changeMeasure = eChanges[n++];
if (changeMeasure != 0f) {
behaviorOfExperts[expert][1] = behaviorOfExperts[expert][1] + 1;
value = (Float) preferences[expert].getValue(i, j);
if (change == EChangeType.Increase) {
value += changeMeasure;
} else if (change == EChangeType.Decrease) {
value -= changeMeasure;
}
if (value > 1f) {
value = 1f;
} else if (value < 0f) {
value = 0f;
}
((FPR) preferences[expert]).setValueSymmetrically(i, j, value);
}
}
}
}
}
return behaviorOfExperts;
}
}
plugins/afryca.consensusmodel.palomares2014/target/MANIFEST.MF
+11
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Manifest-Version: 1.0
Bundle-ManifestVersion: 2
Bundle-SymbolicName: afryca.consensusmodel.palomares2014;singleton:=true
Bundle-Version: 1.0.0.202101221157
Bundle-Vendor: %Bundle-Vendor
Bundle-RequiredExecutionEnvironment: JavaSE-1.8
Bundle-Name: %Bundle-Name
Bundle-ActivationPolicy: lazy
Require-Bundle: afryca.consensusmodel
Automatic-Module-Name: afryca.consensusmodel.palomares2014
plugins/afryca.consensusmodel.palomares2014/target/afryca.consensusmodel.palomares2014-1.0.0-SNAPSHOT.jar
BIN
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plugins/afryca.consensusmodel.palomares2014/target/classes/afryca/consensusmodel/Palomares2014.class
BIN
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plugins/afryca.consensusmodel.palomares2014/target/local-artifacts.properties
+4
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@@ -0,0 +1,4 @@
#Fri Jan 22 13:01:31 CET 2021
artifact.main=C\:\\Users\\\u00C1lvaro\\Workspaces\\afryca_2020\\afryca\\plugins\\afryca.consensusmodel.palomares2014\\target\\afryca.consensusmodel.palomares2014-1.0.0-SNAPSHOT.jar
artifact.attached.p2artifacts=C\:\\Users\\\u00C1lvaro\\Workspaces\\afryca_2020\\afryca\\plugins\\afryca.consensusmodel.palomares2014\\target\\p2artifacts.xml
artifact.attached.p2metadata=C\:\\Users\\\u00C1lvaro\\Workspaces\\afryca_2020\\afryca\\plugins\\afryca.consensusmodel.palomares2014\\target\\p2content.xml
plugins/afryca.consensusmodel.palomares2014/target/maven-archiver/pom.properties
+3
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@@ -0,0 +1,3 @@
artifactId=afryca.consensusmodel.palomares2014
groupId=afryca.group
version=1.0.0-SNAPSHOT
plugins/afryca.consensusmodel.palomares2014/target/p2artifacts.xml
+13
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@@ -0,0 +1,13 @@
<?xml version='1.0' encoding='UTF-8'?>
<?artifactRepository version='1.1.0'?>
<artifacts size='1'>
<artifact classifier='osgi.bundle' id='afryca.consensusmodel.palomares2014' version='1.0.0.202101221157'>
<properties size='5'>
<property name='artifact.size' value='10433'/>
<property name='download.size' value='10433'/>
<property name='maven-groupId' value='afryca.group'/>
<property name='maven-artifactId' value='afryca.consensusmodel.palomares2014'/>
<property name='maven-version' value='1.0.0-SNAPSHOT'/>
</properties>
</artifact>
</artifacts>
plugins/afryca.consensusmodel.palomares2014/target/p2content.xml
+48
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@@ -0,0 +1,48 @@
<?xml version='1.0' encoding='UTF-8'?>
<units size='1'>
<unit id='afryca.consensusmodel.palomares2014' version='1.0.0.202101221157' generation='2'>
<update id='afryca.consensusmodel.palomares2014' range='[0.0.0,1.0.0.202101221157)' severity='0'/>
<properties size='9'>
<property name='es.Bundle-Name' value='Palomares2014'/>
<property name='es.Bundle-Vendor' value='Sinbad²'/>
<property name='df_LT.Bundle-Name' value='Palomares2014'/>
<property name='df_LT.Bundle-Vendor' value='Sinbad²'/>
<property name='org.eclipse.equinox.p2.name' value='%Bundle-Name'/>
<property name='org.eclipse.equinox.p2.provider' value='%Bundle-Vendor'/>
<property name='maven-groupId' value='afryca.group'/>
<property name='maven-artifactId' value='afryca.consensusmodel.palomares2014'/>
<property name='maven-version' value='1.0.0-SNAPSHOT'/>
</properties>
<provides size='6'>
<provided namespace='org.eclipse.equinox.p2.iu' name='afryca.consensusmodel.palomares2014' version='1.0.0.202101221157'/>
<provided namespace='osgi.bundle' name='afryca.consensusmodel.palomares2014' version='1.0.0.202101221157'/>
<provided namespace='osgi.identity' name='afryca.consensusmodel.palomares2014' version='1.0.0.202101221157'>
<properties size='1'>
<property name='type' value='osgi.bundle'/>
</properties>
</provided>
<provided namespace='org.eclipse.equinox.p2.eclipse.type' name='bundle' version='1.0.0'/>
<provided namespace='org.eclipse.equinox.p2.localization' name='es' version='1.0.0'/>
<provided namespace='org.eclipse.equinox.p2.localization' name='df_LT' version='1.0.0'/>
</provides>
<requires size='2'>
<required namespace='osgi.bundle' name='afryca.consensusmodel' range='0.0.0'/>
<requiredProperties namespace='osgi.ee' match='(&amp;(osgi.ee=JavaSE)(version=1.8))'>
<description>
afryca.consensusmodel.palomares2014
</description>
</requiredProperties>
</requires>
<artifacts size='1'>
<artifact classifier='osgi.bundle' id='afryca.consensusmodel.palomares2014' version='1.0.0.202101221157'/>
</artifacts>
<touchpoint id='org.eclipse.equinox.p2.osgi' version='1.0.0'/>
<touchpointData size='1'>
<instructions size='1'>
<instruction key='manifest'>
Bundle-SymbolicName: afryca.consensusmodel.palomares2014;singleton:=true&#xA;Bundle-Version: 1.0.0.202101221157&#xA;
</instruction>
</instructions>
</touchpointData>
</unit>
</units>